| Multi-oriented text detection with fully convolutional networks Z Zhang, C Zhang, W Shen, C Yao, W Liu, X Bai IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 626 | 2016 |
| DeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection W Shen, X Wang, Y Wang, X Bai, Z Zhang IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 576 | 2015 |
| Few-shot image recognition by predicting parameters from activations S Qiao, C Liu, W Shen, AL Yuille IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 551 | 2018 |
| Deep co-training for semi-supervised image recognition S Qiao, W Shen, Z Zhang, B Wang, A Yuille Proceedings of the european conference on computer vision (eccv), 135-152, 2018 | 355 | 2018 |
| A fixed-point model for pancreas segmentation in abdominal CT scans Y Zhou, L Xie, W Shen, Y Wang, EK Fishman, AL Yuille Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 321* | 2017 |
| Symmetry-Based Text Line Detection in Natural Scenes Z Zhang, W Shen, C Yao, X Bai IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 319 | 2015 |
| Pcl: Proposal cluster learning for weakly supervised object detection P Tang, X Wang, S Bai, W Shen, X Bai, W Liu, A Yuille IEEE transactions on pattern analysis and machine intelligence 42 (1), 176-191, 2018 | 312 | 2018 |
| ibot: Image bert pre-training with online tokenizer J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong arXiv preprint arXiv:2111.07832, 2021 | 287 | 2021 |
| Spatial–temporal convolutional neural networks for anomaly detection and localization in crowded scenes S Zhou, W Shen, D Zeng, M Fang, Y Wei, Z Zhang Signal Processing: Image Communication 47, 358-368, 2016 | 270 | 2016 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 260 | 2022 |
| Micro-Batch Training with Batch-Channel Normalization and Weight Standardization S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1903.10520, 2020 | 241 | 2020 |
| Single-Shot Object Detection with Enriched Semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 217 | 2018 |
| Abdominal multi-organ segmentation with organ-attention networks and statistical fusion Y Wang, Y Zhou, W Shen, S Park, EK Fishman, AL Yuille Medical image analysis 55, 88-102, 2019 | 166 | 2019 |
| A 3D coarse-to-fine framework for volumetric medical image segmentation Z Zhu, Y Xia, W Shen, E Fishman, A Yuille 2018 International conference on 3D vision (3DV), 682-690, 2018 | 163* | 2018 |
| Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training Y Zhou, Y Wang, P Tang, S Bai, W Shen, E Fishman, A Yuille 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 121-140, 2019 | 152* | 2019 |
| Deep regression forests for age estimation W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 152 | 2018 |
| Skeleton growing and pruning with bending potential ratio W Shen, X Bai, R Hu, H Wang, LJ Latecki Pattern Recognition 44 (2), 196-209, 2011 | 122 | 2011 |
| Object skeleton extraction in natural images by fusing scale-associated deep side outputs W Shen, K Zhao, Y Jiang, Y Wang, Z Zhang, X Bai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 115 | 2016 |
| Label distribution learning forests W Shen, K Zhao, Y Guo, A Yuille NIPS, 2017 | 97 | 2017 |
| Synthesize then compare: Detecting failures and anomalies for semantic segmentation Y Xia, Y Zhang, F Liu, W Shen, AL Yuille Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 96 | 2020 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
